Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

I’m excited to announce CrowdStrike’s agreement to acquire SGNL, a leader in identity-first security. This acquisition will extend CrowdStrike Falcon Next-Gen Identity Security to deliver continuous, context-aware authorization for human, non-human, and AI agent identities across SaaS and hyperscaler cloud environments. As risk conditions and threats change, access to applications, data, and AI agents should change with them.

Most teams learn the OWASP Top 10 as a list of application security failures. Injection flaws. Broken access control. Security misconfiguration. Items to scan for, remediate, and close before the next audit or penetration test. But data exposure rarely arrives neatly packaged as a single OWASP finding. When sensitive data leaks, it is almost never because one category failed in isolation.

AI coding assistants have fundamentally changed development velocity. With tools like Augment Code, developers can now build and iterate at a pace that was unimaginable just a few years ago. However, this explosion in speed has created a new challenge: security teams, often still relying on manual review processes, are becoming the bottleneck.

Every superhero needs a sidekick. For your network and security teams, that is Cato’s ASK AI Assistant, our new AI Assistant built to help you see, solve, and secure faster than ever. This isn’t a basic Q&A tool. It brings customer-specific information and ability to work with other tools to answer complex questions.

Enterprise AI adoption moved fast. Speed mattered. Shipping mattered. Getting AI into production mattered. That phase is over. Security leaders are now asking a harder question: whether the AI already embedded in security operations is safe, explainable, and aligned with how modern SOC teams actually work. The focus has shifted from adoption to trust, specifically explainability, governance, and operational fit.

AI automation for managed service providers is creating a major shift from reactive to proactive service delivery, allowing MSPs to streamline ticket handling, accelerate resolution times, and operate far more efficiently. Real-world data shows that AI-driven automation can help service desks close significantly more tickets per technician by automating triage and routine tasks, while also reducing operational costs by 25 to 40 percent** through improved workflow efficiency and reduced manual labor.